Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Theory and Applicability of the Weighted Modified Lindley Distribution Subject The topic of the resource Data analysis; Estimation; Lindley distribution; Modified Lindley distribution; Moments; Weighted distributions Description An account of the resource As a bridge between the exponential and Lindley distributions, the modified Lind-ley distribution was created. It has been used successfully in a variety of fields related to survival analysis. In this study, we present a novel distribution that extends the modified Lindley distribution using the traditional weighted (or length/size-biased) approach. It is named as weighted modified Lindley distribution. This idea is mainly used to flexibilize the former modified Lindley distribution through the use of a one-parameter polynomial weight. This weight is intended to modulate the functionalities of the new distribution, well beyond those of the former modified Lindley distribution. The related probability density function, cumulative density function, hazard rate function, moments, moment generating function and characteristic function are analysed from a theoretical and practical point of view. Estimation of the parameters is done by the classical method of maximum likelihood and a simulation study is carried out to check the consistency of the maximum likelihood estimates. A data set is used to illustrate the application of the proposed distribution. 2022, Society of Statistics, Computer and Applications. All rights reserved. Creator An entity primarily responsible for making the resource Chesneau C.; Tomy L.; Gillariose J. Source A related resource from which the described resource is derived Statistics and Applications, Vol-20, No. 2, pp. 157-175. Publisher An entity responsible for making the resource available Society of Statistics, Computer and Applications Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202583214&amp;partnerID=40&amp;md5=6ff5163134c4a6da5da3a9cd4ee5dc7f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202583214&amp;partnerID=40&amp;md5=6ff5163134c4a6da5da3a9cd4ee5dc7f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 24547395 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chesneau C., Department of Statistics, Universitde Caen, LMNO, Campus II, Science 3, Caen, 14032, France; Tomy L., Department of Statistics, Deva Matha College, Kerala, Kuravilangad, 686633, India; Gillariose J., Department of Statistics CHRIST, (Deemed to be University), Hosur Road, Bengaluru, 560029, India